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Chenzhuang Du

Chenzhuang Du has 2 papers in our library, in 2025, most of them on Reasoning, Vision & language; often with Angang Du, Bowei Xing, Cheng Chen.

2 papers in our library · 2025

OpenAlex · h-index 5 · 13 works · 114 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 555 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #3436

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Tsinghua UniversityBeijing · China2020–2023 · 7 papers🎓Peking UniversityBeijing · China2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 workMathematics · 1 work

🧭 Topics 2Research subjects and languages the work is about.Reasoning · 1 workVision & language · 1 work

 Works by year

2020s

20252 papersChenzhuang Du's papers of 2025

 Papers

The most cited first (OpenAlex and our library).

  1. Kimi k1.5: Scaling Reinforcement Learning with LLMs (2025 · 413 citations)
    Next-token pretraining is limited by how much high-quality text exists. The Kimi Team proposes reinforcement learning as another way to keep scaling: the model creates its own training signal by exploring solutions and receiving rewards. The report describes how they built Kimi k1.5, a multimodal LLM. Training runs…
  2. Kimi-VL Technical Report (2025 · 67 citations)
    Open-source vision-language models have trailed text-only LLMs in efficiency, context length and extended reasoning.

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Kimi k1.5: Scaling Reinforcement Learning with LLMsarXiv:2501.12599Kimi Team, Angang Du, Bofei Gao, et al.2025 · 413 citations
  2. Kimi-VL Technical ReportarXiv:2504.07491Kimi Team, Angang Du, Bohong Yin, et al.2025 · 67 citations
  3. Kimi K3: Open Frontier Intelligence ↗arXiv:2607.24653 · no summary yetKimi Team et al.2026 · 36 citations

 Co-authors here

8 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 555 times (of the 141,840 papers whose bibliographies we read); 34 citing papers with a page here →.

Updated

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